Industrial IoT for Architects and Engineers

Go beyond just connecting services to actually understanding the unique challenges in dealing with industrial environments by building Industrial IoT architectures using AWS

Key Features

• Understand the key components of IoT Architecture and how it applies to Industry 4.0
• Walk through extensive examples and solutions across multiple Industries
• Learn how to collect, process, store, and analyse Industrial IoT data

Book Description

There are many challenges and advantages in using core and managed services available on AWS for making decision about architectural environments for an enterprise. Taking the journey of data from the shop floor to the boardroom and then working towards identifying goals and making strong architectural decisions is the need of the hour.

This book takes a path from the ground up; wherein you will begin with analyzing environment needs, understanding what is needed from captured data, and applying industry standards and convention throughout the process. The outcome will be a better understanding as to why digital integration can be important, and how we might approach a project from a holistic perspective. You will continue into the Operational Technology realm and consider integration patterns with common industrial protocols for data gathering and analysis with direct connectivity to data through sensors or systems. You will wrap up with essentials for designing Industrial IoT architectures, and look into intelligence at the edge, and role of machine learning and artificial intelligence in overcoming the architectural challenges.

By the end of this book you will know how to apply IoT directly to the industry while adapting the concepts to their specific needs.

What you will learn

• Discover the latest best practices and conventions of Industrial IoT
• Understand how to get started with edge computing
• Define and build IoT Solution Architectures from scratch
• Use AWS as the core of your solution platform
• Apply advanced analytics and machine learning to your data
• Deploy edge processing to react in near-real time to events within your environment

Who This Book Is For

This book is targeted towards architects, engineers, developers, and technical professionals interested in building an edge and cloud-based Internet of Things ecosystem with a focus on industry solutions. Since the book specifically has an IoT focus, you should have a good understanding of core IoT technologies and how they work. If you are someone with no hands-on experience, but are familiar with the subject, you can considerably learn through the use cases and architecture decision points covered in the book.

Table of Contents

1. Application Architecture for Industrial IoT
2. Anatomy of an IoT Architecture
3. In Situ Environmental Monitoring
4. Real-World Environmental Monitoring
5. OT and Industrial Control Systems
6. Integration of OT and IT with Industrial IoT
7. PLC Data Acquisition and Analysis
8. Asset and Condition Monitoring
9. Taking it Up a Notch: Scalable Robust, and Secure Architectures
10. Intelligent Systems at the Edge
11. Remote Monitoring Challenges
12. Advanced Analytics and Machine Learning